The Research And Application On User Access Patterns Found Based On BIRCH Algorithm

This thesis focuses on discover user access patterns. We collected data from the core router of a regional network center. We use RIRCH clustering algorithm for clustering of the data flow and statistics click on the frequency on website of ever cluster. Final, we use cluster average comparison with the global average graphical to represent the user access patterns. The result helpful ease the pressure on network bandwidth, improve and optimized network quality of service. We are created a platform to help data to transmit. We use a lot design patterns to helpful my system more flexible.Now, most of the current domestic and international use Web mining to discover access patterns of users. Web mining based on the traditional types of content mining, structure mining and usage mining, user access patterns found in mining areas are used. Web usage mining is the object of study Web usage data or Web logs. Web usage mining can be applied to a variety of different purposes, through the analysis of a user visits the site sequence, can get user's simple information, can be personalized, etc. However, Web mining is found in the user visits a Web site information, is outside users to my site to access patterns, is a from outside to inside the concept. From the center of the regional network routers, network access mode of discovery, research targeted at the IP packet on router. Study of these users access Internet pattern, is a from inside to outside the concept...